D-Index & Metrics Best Publications

Guiguang Ding

Tsinghua University
China

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 45 Citations 8,491 157 World Ranking 4596 National Ranking 422

Overview

What is he best known for?

The fields of study Guiguang Ding is best known for:

Machine learning
Bipartite graph
Hypergraph

As part of one scientific family, Guiguang Ding deals mainly with the area of Regression, narrowing it down to issues related to the Statistics, and often Regression analysis and Joint probability distribution. In his papers, Guiguang Ding integrates diverse fields, such as Regression analysis and Statistics. His work blends Artificial intelligence and Sentiment analysis studies together. His research on Machine learning frequently connects to adjacent areas such as Selection (genetic algorithm). His Machine learning research extends to the thematically linked field of Selection (genetic algorithm). He combines topics linked to Artificial intelligence with his work on Pattern recognition (psychology). As part of his studies on Image (mathematics), Guiguang Ding often connects relevant subjects like Similarity (geometry). His research ties Image (mathematics) and Similarity (geometry) together. His Graph research extends to Theoretical computer science, which is thematically connected.

His most cited work include:

Adaptation Regularization: A General Framework for Transfer Learning (464 citations)
Transfer Learning with Graph Co-Regularization (165 citations)
Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression (162 citations)

What are the main themes of his work throughout his whole career to date

Guiguang Ding performs multidisciplinary study in Artificial intelligence and Theoretical computer science in his work. Guiguang Ding undertakes multidisciplinary studies into Machine learning and Data mining in his work. Guiguang Ding integrates Data mining and Machine learning in his research. He connects Algorithm with Artificial intelligence in his research. He combines topics linked to Geodesy with his work on Benchmark (surveying). Geodesy is closely attributed to Benchmark (surveying) in his research. Many of his studies on Computer security involve topics that are commonly interrelated, such as Hash function. His Hash function study frequently links to other fields, such as Computer security. He undertakes multidisciplinary investigations into Artificial neural network and Convolutional neural network in his work.

Guiguang Ding most often published in these fields:

Artificial intelligence (93.75%)
Pattern recognition (psychology) (64.06%)
Machine learning (48.44%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Transfer Feature Learning with Joint Distribution Adaptation

Mingsheng Long;Jianmin Wang;Guiguang Ding;Jiaguang Sun.
international conference on computer vision (2013)

1236 Citations

Transfer Joint Matching for Unsupervised Domain Adaptation

Mingsheng Long;Jianmin Wang;Guiguang Ding;Jiaguang Sun.
computer vision and pattern recognition (2014)

599 Citations

Adaptation Regularization: A General Framework for Transfer Learning

Mingsheng Long;Jianmin Wang;Guiguang Ding;Sinno Jialin Pan.
IEEE Transactions on Knowledge and Data Engineering (2014)

508 Citations

Collective Matrix Factorization Hashing for Multimodal Data

Guiguang Ding;Yuchen Guo;Jile Zhou.
computer vision and pattern recognition (2014)

482 Citations

Semantics-preserving hashing for cross-view retrieval

Zijia Lin;Guiguang Ding;Mingqing Hu;Jianmin Wang.
computer vision and pattern recognition (2015)

402 Citations

Latent semantic sparse hashing for cross-modal similarity search

Jile Zhou;Guiguang Ding;Yuchen Guo.
international acm sigir conference on research and development in information retrieval (2014)

338 Citations

Transfer Sparse Coding for Robust Image Representation

Mingsheng Long;Guiguang Ding;Jianmin Wang;Jiaguang Sun.
computer vision and pattern recognition (2013)

208 Citations

Transfer Learning with Graph Co-Regularization

Mingsheng Long;Jianmin Wang;Guiguang Ding;Dou Shen.
IEEE Transactions on Knowledge and Data Engineering (2014)

201 Citations

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Xiaohan Ding;Yuchen Guo;Guiguang Ding;Jungong Han.
international conference on computer vision (2019)

196 Citations

Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression

Sicheng Zhao;Hongxun Yao;Yue Gao;Rongrong Ji.
IEEE Transactions on Multimedia (2017)

179 Citations

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Frequent Co-Authors

External Links

Personal Website for Guiguang Ding